UAE Data Protection

Last updated: 9 September 2026

Processing and retention — 9 September 2026

Guide drafting and content review use Luna as the primary model, with Gemini as the configured backup, through OpenRouter. Safeguarding uses Llama Guard and, when needed, a separate Gemini curriculum reviewer. Model developers and the companies operating inference endpoints are not necessarily the same.

Our OpenRouter account has zero data retention (ZDR) enabled, and requests also require ZDR inference endpoints. This applies to provider processing of prompts and outputs, including retries and fallback. It does not delete your saved AILitKit guides, account records or necessary service metadata. OpenRouter permits temporary in-memory prompt caching under its ZDR policy.

Before new generation, automated safeguarding checks read the subject, stage, year group and topic, plus up to the first 1,000 characters each of the teacher description and extracted upload text. Llama Guard gives a first verdict; a Gemini reviewer runs if that verdict is unsafe, unavailable or unreadable. An additional direct OpenAI moderation check runs when configured, under its separate API terms. If no usable safeguarding verdict is available, generation pauses with a retry message. A usable unsafe verdict is preserved if its reviewer fails; hard-block categories cannot be cleared by that reviewer.

Before saving a newly generated guide, automated checks review lesson fit, accuracy, activity logic, resources, pupil language and AI literacy. Up to four batches inspect the draft against the teacher brief; one correction cycle is allowed, followed by another review of all batches. Failed or unavailable review prevents the new guide from being saved. Saved review evidence and resolved findings may quote the brief or draft. These checks can miss errors and are not human approval or a dedicated final-output safety classifier. Existing guides are not retrospectively checked; eligible saved guides may be reused.

Pupil-facing language is targeted using the year group or key stage supplied by the teacher. This is a class-level assumption, not an individual reading-age assessment. Teachers must adapt wording and resources for their actual readers, including SEND and EAL needs, and check third-party tools, links and safeguarding before classroom use.

While a guide is being built, its job record holds the request needed for processing and retries. On completion, failure or expiry, that record loses its input payload and duplicate output. Identifiers, scope, status, timings, usage and support diagnostics remain temporarily: completed jobs are eligible for deletion after 24 hours, and failed or expired jobs after seven days, at the next successful cleanup. The saved guide, its input description and review evidence follow the guide retention period.

After successful generation, cleanup deletes the original uploaded file and clears the extracted text from the upload record, keeping filename, type and date. Unused uploads and failed cleanup are eligible for the scheduled sweep once the upload is over one hour old. The sweep runs every 15 minutes; deletion can take longer if a cleanup attempt fails. Relevant source-derived material can remain in the saved guide and its review evidence.

Guide generation does not grade pupils, decide admissions or progression, or assess individual learners. Automated service checks do decide whether a request can proceed and whether a draft passes review. A second AI model is not human intervention. You can ask a person to review a refusal or flag by contacting hello@ailitkit.com or safeguarding@ailitkit.com; we aim to respond within five working days. A content flag is not a finding of misconduct by a teacher.

Do not enter identifiable pupil information, assessment records, safeguarding records, EHCP/SEN documents or staff personal data. AILitKit needs curriculum content only. Warnings and input cleaning do not guarantee anonymisation: information entered accidentally can still be processed and appear in a saved guide or audit evidence. Contact hello@ailitkit.com promptly if this happens.

Safeguarding audit retains a classifier explanation that may refer to screened content; ALLOW has no input snapshot, while flagged decisions additionally retain topic and a short description excerpt. Saved guide review evidence follows the guide retention period, including its 30-day undo window. Hosting logs and backups have separate service schedules. The school reviewer should obtain the current processor, transfer and retention evidence and record their own risk decision.

Key position

AILitKit is for adult teachers planning lessons. Student accounts and education records are not required. Teachers must remove identifying information before submission; accidental inclusion can still lead to processing. Schools should assess their own use and applicable obligations.

UAE PDPL compliance

Schools should confirm the applicable legal basis, processing agreement and local requirements with their data-protection contact. The processing description below covers accounts, guide creation and review, service administration and safeguarding. See the Privacy Policy for rights, communication purposes and retention.

Cross-border data transfers

AILitKit uses service providers located outside the UAE. The school should assess applicable transfer requirements, including the federal PDPL or relevant free-zone regime. Current service details:

ServiceLocationPurposeSafeguards
Luna, Gemini and Llama Guard via OpenRouterUSAI guide generation and layered pre-generation safeguarding classifierZero data retention enforced (account “Always enforce ZDR” policy; non-retaining providers only)
ScalewayEU (France)Embedding modelsProcessing only. No data stored
SupabaseEUDatabase & authContractual protections, encryption at rest
StripeUSPaymentsPCI DSS compliant, contractual protections
ResendUSEmailDelivery logs only
VercelUS/EUHostingAnonymised request logs
Upstash QStashConfirm queue account locationTask schedulingProcessing only. Payloads discarded after delivery

Obtain the current processor agreements, actual destinations and applicable transfer safeguards during procurement. ZDR restricts AI-provider retention; it does not imply that every copy is held only in the primary database.

Supervisory authority

The UAE Data Office is the supervisory authority for personal data protection under the PDPL. If you have concerns about how AILitKit handles your data, you may contact the UAE Data Office or reach us directly.

Your rights under PDPL

  • Right of access: You can request a copy of your personal data. Use the Export Data button in your account settings.
  • Right to rectification: You can update your personal data at any time from account settings.
  • Right to erasure: You can delete your account and all associated data. Full deletion within 30 days.
  • Right to restrict processing: Contact us to restrict processing of your data.
  • Right to object: You may object to processing based on legitimate interest.

MoE and KHDA alignment

AILitKit supports UAE schools in meeting the Ministry of Education's AI literacy mandates and KHDA's AI Literacy Framework for Dubai private schools. The platform generates guides mapped to UAE-specific frameworks, helping teachers embed AI literacy into their existing subject teaching. See our Safeguarding & Responsible Use page for details on framework alignment.

Data Protection Assessment

If your school requires a Data Protection Assessment under PDPL Article 22, a pre-filled assessment template is available from your account settings under Data Protection.

Contact

For data protection enquiries, contact hello@ailitkit.com.